Funnels in PostHog: learn how to create and analyze them

Track where users quit and why PostHog funnels show drop-off points, correlation patterns, and conversion blockers so you can fix leaks fast. ✅ If you want help with your Product Analytics implementation, contact us at: 🔗 Work with us: visionlabs.com/posthog This tutorial covers: → Building product funnels (pricing → signup → activation) → Setting up marketing funnels (content → contact) → Running correlation analysis to find predictive events → Creating cohorts from drop-off users for re-engagement → When to use funnels vs user paths 0:00 - Introduction: When to use funnels in PostHog 2:35 - Building your first funnel in PostHog 2:58 - Setting up page view events with URL filters 3:27 - Using actions vs events in funnels 3:57 - Reading funnel results: 90-day analysis 4:19 - Correlation analysis: Finding patterns in user behavior 5:19 - Adding funnels to dashboards 5:51 - Creating cohorts from drop-off users 6:46 - Viewing correlation events in dashboard funnels 7:08 - Marketing funnel example: Blog to contact page 8:08 - Running correlation analysis on marketing funnels 8:54 - Forcing custom events for better tracking 9:33 - User paths: Exploring open-ended navigation 10:24 - Using wildcards to track content categories 11:27 - Configuring user path settings (steps, max paths, filters) 12:21 - Removing URL parameters with regex grouping 12:56 - Funnels vs user paths: When to use each 13:25 - Wrap-up: Taking action on funnel data